Honestly, one of the best things about LSBU is how supportive the lecturers are. They actually take the time to help you if you’re struggling, and most of them have real industry experience, so what you learn feels relevant. The uni is also really diverse , you meet people from so many different backgrounds, which makes group work and campus life more interesting. Plus, being in London means there are loads of opportunities for placements, events, and networking. Worst aspects: On the flip side, sometimes the organisation could be better. There have been times when timetables changed last minute or communication about assignments wasn’t super clear. Also, some of the facilities could use an upgrade, especially in the older buildings. And because it’s in central London, living costs and commuting can be a bit of a challenge.

Best Aspects One of the best aspects of the Applied AI course at LSBU is its practical and hands-on approach to learning. The course doesn’t just focus on theory but applies concepts through projects, coding labs, and case studies, which really helps to understand how AI works in real-world contexts. The lecturers are generally supportive and approachable, and the relatively small class sizes make it easier to ask questions and get personalised feedback. The blended learning format, combining in-person sessions with online materials, also gives students flexibility in managing their study time. Another strength is the exposure to industry-relevant tools and technologies, such as Python, TensorFlow, and data analysis platforms, which help prepare students for AI-related careers. Worst Aspects Some modules, particularly Machine Learning and Deep Learning, can be quite challenging and fast-paced. The content is often complex, and sometimes lecturers are unable to cover all topics in sufficient depth due to time constraints, leaving students to do a lot of self-study to fill the gaps. This can make it difficult to fully grasp certain advanced concepts, especially for those who are new to programming or data science. Additionally, while online resources are available, there can be inconsistencies in how materials are uploaded or organised on Moodle, which sometimes causes confusion. Another area for improvement would be to increase engagement with industry professionals through guest lectures, networking events, or live projects, to strengthen the “applied” element of the course even further.

Best is everyone is very supportive and worst thing is we dont have pool to play. I love to play billiards pool you know that 8 ball pool 9 boll and so morr names.

Best thing is we have the recourses of class and worst thing is mylsbu app sometimes disturbs a lot.

Its great but weather is not good thats not Universitys folt its natural.